Installable Softwares
GeoClaw: a variant of Clawpack for geophysical flows
(Recently used for tsunami hazard assessment)
http://depts.washington.edu/clawpack/geoclaw/
http://www.amath.washington.edu/~dgeorge/tsunamimodeling.html
The MOST (Method of Splitting Tsunami) model from NOAA
http://nctr.pmel.noaa.gov/model.html
Studies
Imamura, F et.al.(2006)Tsunami Modelling Manual(TUNAMI model).
http://www.tsunami.civil.tohoku.ac.jp/hokusai3/J/projects/manual-ver-3.1.pdf
Rafi, Z. et.al.(2010)Numerical Modeling of Tsunami Inundation for Potential Earthquake at Makran Subduction Zone
http://www.pakmet.com.pk/tusanami.pdf
Setyonegoro, W.(2009)TSUNAMI NUMERICAL SIMULATION APPLIED TO TSUNAMI EARLY WARNING SYSTEM ALONG SUMATRA REGION. JICA Training Course 2009
http://www.seis.nagoya-u.ac.jp/kimata/jica/actionplan09/wiko.pdf
津波避難ビルや街区への津波荷重をシミュレーション BIMにも対応した流体解析ソフト「e-flow DX」（環境シミュレーション）
http://www.ieiri-lab.jp/success/2011/06/bime-flow-dx.html
document:
http://www.env-simulation.com/jp/wy_gal/sn_gal_9.pdf
References
津波シミュレーション動画の作成手順 静岡大学防災総合センター
http://www.jishin.go.jp/main/bosai/kyoiku-shien/10shizuoka/knowhow.pdf
岩手県地震・津波シミュレーション及び被害想定調査に関する報告書(概要版), 平成16年 岩手県
http://www.pref.iwate.jp/~hp010801/tsunami/yosokuzu/houkokusyo.pdf
YANAGISAWA, H, S KOSHIMURA, K GOTO, T MIYAGI, F IMAMURA, A RUANGRASSAMEE, and C TANAVUD. 2009. €œThe reduction effects of mangrove forest on a tsunami based on field surveys at Pakarang Cape, Thailand and numerical analysis.†Estuarine, Coastal and Shelf Science 81 (1) (January 1): 27-37. doi:10.1016/j.ecss.2008.10.001.
Monday, February 27, 2012
Tuesday, February 14, 2012
[Presentation]Using remote sensing to assess the damage mitigation effect of coastal forest in Sanriku coast and classification of the damage of coastal forest caused by the 2011 Tohoku Tsunami
Abstract:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. The purpose of the study is to assess the damage on coastal forest in Sanriku coast by using remote sensing with satellite images and aerial images and to assess the damage mitigation effect of coastal forest by using spatial analysis. The research method consists of a remote sensing method and a spatial analysis with DEM, polygon data of damaged building and field survey. The remote sensing analysis shows distribution and are of the classified damage on coastal forest by the comparison of NDVI between Pre- and Post- Tsunami satellite images followed by the detection of pixel change between Pre- and Post- Tsunami aerial images. By using GIS data, coastal forests in Sanriku coast are classified into expected damage mitigation effects by height, width, direction of shores, and distance from coastline. Damage mitigation effect of each coastal forests with classes are evaluated by analysis with data of building damage and tsunami reached line.
Abstract(Japanese):
四方を海に囲まれた日本の海岸では，海からの潮風・飛砂・高潮などによる災害から内陸部を守るため広い地域で人工の海岸林が造成されている．東北地方三陸海岸の海岸林は2011年3月11日に起きた東北地方太平洋沖地震の津波によって広範囲にわたって流出・倒伏した．本研究では海岸林の被害の把握と津波被害軽減効果の評価を目的とする．衛星画像と航空写真を元に，海岸林を被害の規模，樹木の倒伏方向，地形や海岸の向きなどで分類し，被害の実態を調査する．その後海岸からの津波の到達距離や付近の建築物の被害状況を分析することで津波被害軽減効果の評価を行う．以上により，海岸林の津波被害軽減の実績と海岸林そのものが受けた被害が明らかになることにより，期待される津波被害軽減効果の高さや造成の緊急性などの優先度を示すことができ，今後の防潮林政策における海岸林造成プロセスへの貢献が期待される．
Research Scheme:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. The purpose of the study is to assess the damage on coastal forest in Sanriku coast by using remote sensing with satellite images and aerial images and to assess the damage mitigation effect of coastal forest by using spatial analysis. The research method consists of a remote sensing method and a spatial analysis with DEM, polygon data of damaged building and field survey. The remote sensing analysis shows distribution and are of the classified damage on coastal forest by the comparison of NDVI between Pre- and Post- Tsunami satellite images followed by the detection of pixel change between Pre- and Post- Tsunami aerial images. By using GIS data, coastal forests in Sanriku coast are classified into expected damage mitigation effects by height, width, direction of shores, and distance from coastline. Damage mitigation effect of each coastal forests with classes are evaluated by analysis with data of building damage and tsunami reached line.
Abstract(Japanese):
四方を海に囲まれた日本の海岸では，海からの潮風・飛砂・高潮などによる災害から内陸部を守るため広い地域で人工の海岸林が造成されている．東北地方三陸海岸の海岸林は2011年3月11日に起きた東北地方太平洋沖地震の津波によって広範囲にわたって流出・倒伏した．本研究では海岸林の被害の把握と津波被害軽減効果の評価を目的とする．衛星画像と航空写真を元に，海岸林を被害の規模，樹木の倒伏方向，地形や海岸の向きなどで分類し，被害の実態を調査する．その後海岸からの津波の到達距離や付近の建築物の被害状況を分析することで津波被害軽減効果の評価を行う．以上により，海岸林の津波被害軽減の実績と海岸林そのものが受けた被害が明らかになることにより，期待される津波被害軽減効果の高さや造成の緊急性などの優先度を示すことができ，今後の防潮林政策における海岸林造成プロセスへの貢献が期待される．
Research Scheme:
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[Plan]Monitoring Recovery of Coastal Forest in Sanriku Coast, Japan
Theme:
Monitoring Recovery of Coastal Forest in Sanriku Coast, Japan
Period:
3 months
Background:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. As a reconstruction, coastal areas have been developed to coastal forests in order to protect inland region from coastal disaster. This research aims to review distribution of damage on coastal forests by 2011 Tohoku Tsunami and monitors both natural and man-made recovery using Remote Sensing.
Method:
By calculating NDVI ratio between pre-tsunami image and post-tsunami image, a distribution of damage and seriousness of damage are output.
By calculating NDVI ratio between post-tsunami image and one-year-after-tsunami image, a distribution of recovery is output.
Expected Result:
Recovery patterns of coastal forest are analyzed with recovery process of each forest and damage seriousness.
Monitoring Recovery of Coastal Forest in Sanriku Coast, Japan
Period:
3 months
Background:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. As a reconstruction, coastal areas have been developed to coastal forests in order to protect inland region from coastal disaster. This research aims to review distribution of damage on coastal forests by 2011 Tohoku Tsunami and monitors both natural and man-made recovery using Remote Sensing.
Method:
By calculating NDVI ratio between pre-tsunami image and post-tsunami image, a distribution of damage and seriousness of damage are output.
By calculating NDVI ratio between post-tsunami image and one-year-after-tsunami image, a distribution of recovery is output.
Expected Result:
Recovery patterns of coastal forest are analyzed with recovery process of each forest and damage seriousness.
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